Using web survey paradata to analyze response quality, respondent characteristics, and survey estimatesVehovar, Vasja (Avtor) Čehovin, Gregor (Avtor) data qualityparadatarespondent characteristicsreponse qualitystate-of-the-art reviewsurvey estimatesweb surveysIn the context of web surveys, the term paradata primarily refers to digital traces of the response process. With the increasing prevalence of web surveys, paradata are often perceived as vital for analyzing the methodological and substantive aspects of web surveys. We evaluated these claims through a state-of-the-art literature review. An extensive search process yielded 3,436 screened abstracts and 173 empirical publications that addressed web survey paradata. The results showed that empirical research on such paradata remains relatively limited, characterized by stable publication levels and quite narrow scopes. Specifically, paradata were primarily employed to examine response quality (92 percent of publications), with respondent characteristics (25 percent) and substantive issues (6 percent) being addressed less frequently. In terms of indicators, response times dominated (83 percent), followed by device type (38 percent), while navigation (9 percent), answer changes (8 percent), multitasking (8 percent), and other advanced indicators were used less frequently. In this article, we discuss these results and provide an operational framework that addresses the complexities of integrating paradata into survey design, thereby facilitating the formulation of realistic expectations in survey research practice.20262026-09-03 17:23:29Članek v reviji186648UDK: 303.622.4:004.738.5ISSN pri članku: 2325-0984DOI: 10.1093/jssam/smag003COBISS_ID: 288385283sl